Metabolomic Estimation of the Diagnosis and Onset Time of Permanent and Transient Cerebral Ischemia

Determining the time of stroke onset in order to apply recanalization therapies within the accepted therapeutic window and the correct diagnosis of transient ischemic attack (TIA) are two common clinical problems in acute cerebral ischemia management. Therefore, biomarkers helping in this conundrum...

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Bibliographic Details
Published in:Molecular neurobiology 2018-07, Vol.55 (7), p.6193-6200
Main Authors: Cambray, Serafí, Portero-Otin, Manuel, Jové, Mariona, Torreguitart, Nuria, Colàs-Campàs, Laura, Sanz, Arabela, Benabdelhak, Ikram, Yemisci, Muge, Dalkara, Turgay, Dönmez-Demir, Buket, Egea, Joaquim, Purroy, Francisco
Format: Article
Language:English
Subjects:
Animal models
Animals
Bioindicators
Biomarkers
Biomedical and Life Sciences
Biomedicine
Cell Biology
Cerebral blood flow
Diagnosis
Infarction, Middle Cerebral Artery - blood
Infarction, Middle Cerebral Artery - complications
Infarction, Middle Cerebral Artery - metabolism
Ischemia
Ischemic Attack, Transient - blood
Ischemic Attack, Transient - diagnosis
Ischemic Attack, Transient - metabolism
Male
Metabolites
Metabolome
Metabolomics
Mice
Mimicry
Neurobiology
Neurology
Neurosciences
Occlusion
Rodents
Stroke
Stroke - blood
Stroke - complications
Stroke - metabolism
Time Factors
Transient ischemic attack
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Summary:Determining the time of stroke onset in order to apply recanalization therapies within the accepted therapeutic window and the correct diagnosis of transient ischemic attack (TIA) are two common clinical problems in acute cerebral ischemia management. Therefore, biomarkers helping in this conundrum could be very helpful. We developed mouse models of distal middle cerebral artery occlusion mimicking TIA and ischemic stroke (IS), respectively. Plasma samples were analyzed by metabolomics at 6, 12, 24, and 48 h post onset in order to find TIA- and time-related stroke biomarkers. The results were validated in a second experimental cohort. Plasma metabolomic profiles identified time after stroke events with a very high accuracy. Specific metabolites pointing to a recent event (
ISSN:0893-7648
1559-1182
DOI:10.1007/s12035-017-0827-5